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1 Introduction Finite element model updating is a technique that improves the correlation between the measured data and the theoretical prediction. A significant number of methods exist. These methods can be classified into two categories, namely direct methods and iterative methods. Direct methods are also called basic reference methods, and they reproduce the experimental measurement so that it can be used later; these methods do not localize the modelling errors. Iterative methods are also called parametric identification by updating; these methods are more

ideal for this study. The internal pressure, as well as associated elastic and plastic volume changes of the inclusion can be determined accurately from the homogenization temperature because reliable data are available for the molar volume along the liquid-vapor curve of water. Therefore, all the mechanical boundary conditions as well as the resulting deformation are known and can be compared to those produced under the same conditions in the model. Finite element models are useful because they can be used to reproduce more complex shapes than can be modeled


For metal forming problems, even for a simple forming technology, finite element analysis can provide a solution for calculating deformations, determining stress and strain distributions. The aim of this study is to create a parametric finite element model for deep drawing technology, by which technological optimization as well as theoretical problems can be solved. By performing parameter studies, numerous cases can be analyzed.


Bioactive glasses have attractive characteristics as a scaffold material for healing bone defects but their brittle mechanical response, particularly in bending, is a concern. Recent studies have shown that coating the external surface of strong porous bioactive glass (13-93) scaffolds with an adherent biodegradable polymer layer can significantly improve their load-bearing capacity andwork of fracture, resulting in a non-brittle mechanical response. In the present study, finite element modeling (FEM) was used to analyze the mechanical response in four-point bending of composites composed of a porous glass scaffold and an adherent polymer surface layer. The glass scaffold with a cylindrical geometry (diameter = 4.2 mm; porosity = 20%) was composed of randomly arranged unidirectional fibers (diameter 200-700 μm) thatwere bonded at their contact points. The thickness of the polymer layer was 500 μm. By analyzing the stresses in the individual glass fibers, the simulations can account for the main trends in the observed mechanical response of practical composites with a similar architecture composed of a bioactive glass (13-93) scaffold and an adherent polylactic acid surface layer. These FEM simulations could play a useful role in designing bioactive glass composites with improved mechanical properties.

dynamics of the human movement and its interaction with the net. Traditional biomechanical tools, i.e. motion capture and force measurements, are not sufficient to examine the process of the interaction dynamics between the human body and the trampoline. In order to investigate the interaction between the athlete and the elastic net surface of the trampoline, the simulation of the musculoskeletal model coupled with the dynamic model of the trampoline is needed to comprehensively understand trampoline jumping movements. We developed a biomechanical finite element model

layered composite. (a) macroscale level, (b) microscale level, (c) mesoscale level. At the macroscale level ( Figure 1a ), laminate is treated as a continuous, homogeneous anisotropic material. For the construction of finite element model (in short FE models), two-dimensional or three-dimensional finite elements of sandwich type are used, due to which macroscale models are characterized by good numerical efficiency. The influence of the number of reinforcement layers, their thickness and location as well as the direction of arrangement are taken into account using the

Endovasc Ther . 2016;23:115-120. 4. Spyroua LA, Aravas N. Muscle-driven finite element simulation of human foot movements. Comput Methods Biomech Biomed Engin . 2012;15:925-934. 5. Anițaș R, Lucaciu DO. Finite element modelling of Achilles tendon while running. Acta Medica Marisiensis . 2013;59:8-11. 6. Unsworth A, Strozzi A. Axisymmetric finite element analysis of hip replacements possessing an elastomeric layer: the effects of clearance and Poisson’s ratio. Proc Inst Mech Eng H . 1995;209:59-64. 7. Wu JZ, Herzog W, Epstein M. Evaluation of the finite element

Volume 3, Issue 2 2007 Article 5 International Journal of Food Engineering Finite Element Modeling for Spatial Moisture Content Distribution during Ripening of Camembert Cheese Shaowei Liu, University of Nebraska Virendra M. Puri, Pennsylvania State University Recommended Citation: Liu, Shaowei and Puri, Virendra M. (2007) "Finite Element Modeling for Spatial Moisture Content Distribution during Ripening of Camembert Cheese," International Journal of Food Engineering: Vol. 3: Iss. 2, Article 5. DOI: 10.2202/1556-3758.1218 Finite Element Modeling for Spatial

INTERNAL MIXERS Intern. Polymer Processing IX (1994) 3 © Hanser Publishers, Munich 1994 199 V. Nassehi* and R. Salemi Department of Chemical Engineering, Loughborough University of Technology, U.K. Finite Element Modelling of Non-isothermal Viscometric Flows in Rubber Mixing Attempts to find a general viscoelastic fluid model which would be applicable to all different classes of flow problems and could produce experimentally verifiable results, have so far failed. Instead efforts have been concentrated in finding a suitable viscoelastic model

setups are illustrated inside the diagrams in Figure 6 . The force F  was measured with a load cell and the deformation Δ u with linear variable displacement transducers (LVDT). Based on F and Δ u , the Young’s moduli E 0 and E 90 were determined corresponding to ( EN 408. 2012 ). The specimens were tested at room temperature and had a moisture content of 8–10%. 2.5 Finite element method (FEM) The density and geometry data obtained from the CT scan is used to create a detailed finite element model. Therefore, the standard finite element software ABAQUS is